Papers by Pegah Alipoor

1 papers
Variants of Vector Space Reductions for Predicting the Compositionality of English Noun Compounds (2020.lrec-1)

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Challenge: Existing approaches to predict the degree of compositionality of noun compounds are based on comparing compounds and their constituents within a vector space and using distributional similarity as a proxy to predict their degree of semantic relatedness.
Approach: They propose to use distributional similarity as a proxy to predict the semantic relatedness between the compounds and their constituents as the compound’s degree of compositionality.
Outcome: The proposed methods are most successful and stable in terms of dimensionality and part-of-speech reductions.

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